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Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets

Catalina Tobon-Gomez, Arjan J. Geers, Jochen Peters, Jurgen Weese, Karen Pinto, Rashed Karim, Mohammed Ammar, Abdelaziz Daoudi, Jan Margeta, Zulma Sandoval, Birgit Stender, Yefeng Zheng (+12 others)
<span title="">2015</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yhnt2pif75h2bmnnmdg7m6nlc4" style="color: black;">IEEE Transactions on Medical Imaging</a> </i> &nbsp;
Segmentation of the LA from Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) images is a complex problem.  ...  This manuscript also reports the results of the Left Atrial Segmentation Challenge (LASC) carried out at the STACOM'13 workshop, in conjunction with MICCAI'13.  ...  ACKNOWLEDGEMENTS The authors would like to thank C. Butakoff and B. Blazevic for their very useful suggestions for the automatisation of the evaluation framework.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tmi.2015.2398818">doi:10.1109/tmi.2015.2398818</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/25667349">pmid:25667349</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/x6mkjar7cfdqfic6md5uzt2q6u">fatcat:x6mkjar7cfdqfic6md5uzt2q6u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808125516/http://www.doc.ic.ac.uk/~rkarim/files/cata_tmi.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0e/70/0e7078770d0e7ebadcb97357ca5690b8186635b7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tmi.2015.2398818"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Front Matter: Volume 10133

Proceedings of SPIE, Martin A. Styner, Elsa D. Angelini
<span title="2017-04-04">2017</span> <i title="SPIE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ha25cznnjncxtjoykhsg6fz5ly" style="color: black;">Medical Imaging 2017: Image Processing</a> </i> &nbsp;
of the prostate on CT images using deep learning and multi-atlas fusion [10133-99] 10133 2P AWM: Adaptive Weight Matting for medical image segmentation [10133-13] 10133 2Q Pseudo CT estimation from MRI  ...  -59] 10133 1O Using flow feature to extract pulsatile blood flow from 4D flow MRI images [10133-60] 10133 1P Super-resolution convolutional neural network for the improvement of the image quality  ...  SESSION 4 SEGMENTATION: BRAIN Session Chairs  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/12.2270368">doi:10.1117/12.2270368</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/miip/X17.html">dblp:conf/miip/X17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/resfpzholvbtbalfkbg3pj64gu">fatcat:resfpzholvbtbalfkbg3pj64gu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180720190018/https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10133/1013301/Front-Matter-Volume-10133/10.1117/12.2270368.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/75/72/75724d176267865b54af4e9818ea0e18918f700b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/12.2270368"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Left Atrial Segmentation Challenge: A Unified Benchmarking Framework [chapter]

Catalina Tobon-Gomez, Jochen Peters, Juergen Weese, Karen Pinto, Rashed Karim, Tobias Schaeffter, Reza Razavi, Kawal S. Rhode
<span title="">2014</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
Segmentation of the LA from Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) images is a complex problem.  ...  Thirty MRI and thirty CT datasets were provided to participants for segmentation. Ten data sets for each modality were provided with expert manual segmentations for algorithm training.  ...  The authors would like to thank C. Butakoff, O. Camara and A.J. Geers for their very useful suggestions for the automatisation of the evaluation framework.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-54268-8_1">doi:10.1007/978-3-642-54268-8_1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ejttwrw4yvd2jknagtlydalrre">fatcat:ejttwrw4yvd2jknagtlydalrre</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190219190643/http://pdfs.semanticscholar.org/1984/47e53f31653cf9eedde4d7b98a61ca3db865.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/19/84/198447e53f31653cf9eedde4d7b98a61ca3db865.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-54268-8_1"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

A Combined Random Forests and Active Contour Model Approach for Fully Automatic Segmentation of the Left Atrium in Volumetric MRI

Chao Ma, Gongning Luo, Kuanquan Wang
<span title="">2017</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/icbhosh775h7bgzgot6avm3cua" style="color: black;">BioMed Research International</a> </i> &nbsp;
Segmentation of the left atrium (LA) from cardiac magnetic resonance imaging (MRI) datasets is of great importance for image guided atrial fibrillation ablation, LA fibrosis quantification, and cardiac  ...  In this work, we propose a combined random forests (RFs) and active contour model (ACM) approach for fully automatic segmentation of the LA from cardiac volumetric MRI.  ...  Acknowledgments This work was supported by National Nature Science Foundation of China (NSFC) Grant no. 61571165.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2017/8381094">doi:10.1155/2017/8381094</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/28316992">pmid:28316992</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5337796/">pmcid:PMC5337796</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/u6jakwgoszeivmj6oqnaupkfxy">fatcat:u6jakwgoszeivmj6oqnaupkfxy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190305015624/http://pdfs.semanticscholar.org/cda7/23486ff570296237cb520515e03c22ba7b38.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/cd/a7/cda723486ff570296237cb520515e03c22ba7b38.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2017/8381094"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5337796" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Deep learning for cardiac image segmentation: A review [article]

Chen Chen, Chen Qin, Huaqi Qiu, Giacomo Tarroni, Jinming Duan, Wenjia Bai, Daniel Rueckert
<span title="2019-11-09">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Deep learning has become the most widely used approach for cardiac image segmentation in recent years.  ...  In this paper, we provide a review of over 100 cardiac image segmentation papers using deep learning, which covers common imaging modalities including magnetic resonance imaging (MRI), computed tomography  ...  the atrium from 3D ).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1911.03723v1">arXiv:1911.03723v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cwsq5hiaebgkza5ktmtyw553je">fatcat:cwsq5hiaebgkza5ktmtyw553je</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200828105439/https://arxiv.org/pdf/1911.03723v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5a/a5/5aa5f0292795fdc68eec731890d532d199f351f0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1911.03723v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

A Review on Atrial Fibrillation (Computer Simulation and Clinical Perspectives)

Muhammad Adib Uz Zaman, Dongping Du
<span title="2022-02-14">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7tlmrxth7rdppg7b76pc7rnpf4" style="color: black;">Hearts</a> </i> &nbsp;
Topics from the age-old fundamental concepts to specialized modern techniques involved in today's AF research are discussed.  ...  AF management for patients with different stages of AF has been discussed in the literature as well but is somehow limited mostly to the patients with persistent AF.  ...  Image segmentation is primarily used to isolate the LA (or other segments of the heart) from the MRI data of the whole heart.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/hearts3010005">doi:10.3390/hearts3010005</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jstdeslkyvhahcq2ifuf2qq7di">fatcat:jstdeslkyvhahcq2ifuf2qq7di</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220216103733/https://mdpi-res.com/d_attachment/hearts/hearts-03-00005/article_deploy/hearts-03-00005.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/41/79/4179a777c9f8ac4cc755c75c76d826ddbc6ebb7d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/hearts3010005"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

An Efficient Techniques used for Diagnosis of Mitral Valve Regurgitation Severity

<span title="2019-11-10">2019</span> <i title="Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cj3bm7tgcffurfop7xzswxuks4" style="color: black;">VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE</a> </i> &nbsp;
recording, echocardiography techniques and so on are there for Mitral Valve diagnosis, but still most of the methods suffer from inefficient image segmentation and misclassification problems.  ...  detection-based segmentation model to enhance the classifier accuracy. 2) Watershed Segmentation for Mitral Valve identification and image segmentation and Xception model with Random Forest (RF) classifier  ...  INTRODUCTION Among all valves mitral valve plays an important role in regulating blood flow from the upper left chamber (left atrium) into the lower left chamber (left ventricle), the heart's main pumping  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijitee.a4299.119119">doi:10.35940/ijitee.a4299.119119</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dfio7putb5b2hoi2jcojoxqw3u">fatcat:dfio7putb5b2hoi2jcojoxqw3u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220223040403/https://www.ijitee.org/wp-content/uploads/papers/v9i1/A4299119119.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/96/df/96dfb7d0a44216dd03a93600a52d6fb80d350bfc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijitee.a4299.119119"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Front Matter: Volume 10575

Proceedings of SPIE, Kensaku Mori, Nicholas Petrick
<span title="2018-04-13">2018</span> <i title="SPIE"> Medical Imaging 2018: Computer-Aided Diagnosis </i> &nbsp;
The publisher is not responsible for the validity of the information or for any outcomes resulting from reliance thereon.  ...  Please use the following format to cite material from these proceedings: Publication of record for individual papers is online in the SPIE Digital Library.  ...  diseased hearts using CT images and left atrium patches [10575-107] POSTER SESSION: EYE 10575 31 Lesion detection in ultra-wide field retinal images for diabetic retinopathy diagnosis [10575-108  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/12.2315758">doi:10.1117/12.2315758</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kqpt2ugrxrgx7m5rhasawarque">fatcat:kqpt2ugrxrgx7m5rhasawarque</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190427064351/https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10575/1057501/Front-Matter-Volume-10575/10.1117/12.2315758.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/8b/b7/8bb7766dac2713cf11ff8d6000a4d43990b7ca34.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/12.2315758"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Automatic initialization and quality control of large-scale cardiac MRI segmentations

Xènia Albà, Karim Lekadir, Marco Pereañez, Pau Medrano-Gracia, Alistair A. Young, Alejandro F. Frangi
<span title="">2018</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kpkfymbkufcnzjfc5ydyokby4y" style="color: black;">Medical Image Analysis</a> </i> &nbsp;
First, we propose a fully automatic method for initializing cardiac MRI segmentation, by using image features and random forests regression to predict an initial position of the heart and key anatomical  ...  The results obtained based on over 1200 cases from the Cardiac Atlas Project show the promise of fully automatic initialization and quality control for population studies.  ...  Generally, as shown in Table 2 In cardiac MRI, the mitral valve (located between the left atrium and the LV) is shown in long axis (LA) view, because it contains both the atrium and LV.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.media.2017.10.001">doi:10.1016/j.media.2017.10.001</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/29073531">pmid:29073531</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/d5nfx4bwj5hg3auoemvsfeys5y">fatcat:d5nfx4bwj5hg3auoemvsfeys5y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190426215102/http://eprints.whiterose.ac.uk/134804/7/MEDIA-D-17-00052R2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/15/2f/152f821c8686058efe87ac6216f12cb12a1a431d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.media.2017.10.001"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Cardiac Electrophysiology Studies Based on Image and Machine Learning

Yashbir Singh, D Deepa, Shi-Yi Wu, Michael Friebe, João Manuel R. S. Tavares, Weichih Hu
<span title="2018-02-22">2018</span> <i title="Science and Education Publishing Co., Ltd."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/j7se7f3wonhqvpvuovbhiorinm" style="color: black;">Journal of Biomedical Engineering and Technology</a> </i> &nbsp;
In this research, we review various recent strategies currently available for the meeting the goal of structurally and functionally integrated models of cardiac function that combine data intensive cellular  ...  Cardiac Electrophysiology study is the origin and treatment of arrhythmia, which is an abnormality in the rate, regularity or sequence of cardiac activation.  ...  Conflicts of Interest The authors have no relevant conflicts of interest to disclose.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.12691/jbet-6-1-1">doi:10.12691/jbet-6-1-1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5aifmrtrj5h6nefbeah34xbhvm">fatcat:5aifmrtrj5h6nefbeah34xbhvm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200306064151/http://pubs.sciepub.com/jbet/6/1/1/jbet-6-1-1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b8/0e/b80ee73016d402788373feec9fd59f832438a716.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.12691/jbet-6-1-1"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Prediction and Risk Assessment Models for Subarachnoid Hemorrhage: A Systematic Review on Case Studies

Jewel Sengupta, Robertas Alzbutas, B. D. Parameshachari
<span title="2022-01-27">2022</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/icbhosh775h7bgzgot6avm3cua" style="color: black;">BioMed Research International</a> </i> &nbsp;
The clinical factors with computed tomography (CT), magnetic resonance image (MRI), and electroencephalography (EEG) data were used to evaluate the performance of the developed method.  ...  The advantages and limitations of SAH prediction and risk assessment methods are also being reviewed. Most of the existing methods were evaluated on the collected dataset for the SAH prediction.  ...  Acknowledgments This review was not possible without proper support and assistance of so many people from the Kaunas University of Technology, whose names may not be enumerated for this review, but we  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2022/5416726">doi:10.1155/2022/5416726</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/35111845">pmid:35111845</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8802084/">pmcid:PMC8802084</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/epo7dqt3hfccpfw53mbezuxe3e">fatcat:epo7dqt3hfccpfw53mbezuxe3e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220204125658/https://downloads.hindawi.com/journals/bmri/2022/5416726.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/75/51/755175f2b8f9407bebf7cfadf2bfab6e2c10f4ff.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2022/5416726"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8802084" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Artificial intelligence in pediatric and adult congenital cardiac MRI: an unmet clinical need

Arghavan Arafati, Peng Hu, J. Paul Finn, Carsten Rickers, Andrew L. Cheng, Hamid Jafarkhani, Arash Kheradvar
<span title="">2019</span> <i title="AME Publishing Company"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nrivcrm4q5eqdar5acgednv6by" style="color: black;">Cardiovascular Diagnosis and Therapy</a> </i> &nbsp;
The utility of CMR as a non-invasive imaging tool for evaluation of CHD have been growing exponentially over the past decade.  ...  A wide range of applications for AI have been developed to tackle challenges in various aspects of CMR, and significant advances have also been made from image acquisition to image analysis and diagnosis  ...  Acknowledgments The authors would also like to acknowledge Saeed Karimi Bidhendi for providing the images in 9th illustration. from his work-in-progress study on automatic segmentation of tetralogy of  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21037/cdt.2019.06.09">doi:10.21037/cdt.2019.06.09</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/31737539">pmid:31737539</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6837938/">pmcid:PMC6837938</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gcbodzcxszcvjgs2nelzvz3ika">fatcat:gcbodzcxszcvjgs2nelzvz3ika</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200507193714/https://escholarship.org/content/qt6x73f9vc/qt6x73f9vc.pdf?t=q1kky3" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7f/39/7f39a632d07961b251f0fe0562de3d4328b96d82.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21037/cdt.2019.06.09"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6837938" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Personalized management of atrial fibrillation: Proceedings from the fourth Atrial Fibrillation competence NETwork/European Heart Rhythm Association consensus conference

P. Kirchhof, G. Breithardt, E. Aliot, S. Al Khatib, S. Apostolakis, A. Auricchio, C. Bailleul, J. Bax, G. Benninger, C. Blomstrom-Lundqvist, L. Boersma, G. Boriani (+60 others)
<span title="2013-08-27">2013</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zu7hysconfanjhrzcmav6opm6q" style="color: black;">Europace</a> </i> &nbsp;
the results of the conference for publication, consisting of the following persons: Jeroen Bax, Günter Breithardt, John Camm, Barbara Casadei, Isabelle van Gelder, Michael Ezekowitz, Stephane Hatem, Georg  ...  We would also like to acknowledge the excellent organizational support from the European Heart House and the AFNET central office.  ...  predictor on multivariate analysis. 117, 119 The morphology of the left atrium can also be adequately assessed with 3D imaging using echocardiography or MRI.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/europace/eut232">doi:10.1093/europace/eut232</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/23981824">pmid:23981824</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dv3s435tqva7bl2bsypnvzaji4">fatcat:dv3s435tqva7bl2bsypnvzaji4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20161020101040/http://europace.oxfordjournals.org:80/content/europace/early/2013/08/25/europace.eut232.full.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b4/32/b432b4e5c8d161048eb434c0537ddf9b9d198421.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/europace/eut232"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> oup.com </button> </a>

Deep Learning in Cardiology

Paschalis Bizopoulos, Dimitrios Koutsouris
<span title="">2019</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pjmncnm4zfdltlh5rxo2xd62xa" style="color: black;">IEEE Reviews in Biomedical Engineering</a> </i> &nbsp;
We discuss the advantages and limitations of applying deep learning in cardiology that also apply in medicine in general, while proposing certain directions as the most viable for clinical use.  ...  The medical field is creating large amount of data that physicians are unable to decipher and use efficiently.  ...  [202] used an FCN with twelve layers for left atrium segmentation in 3D CT volumes and then refined the segmentation results of the FCN with an active shape model achieving a Dice of 93%.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/rbme.2018.2885714">doi:10.1109/rbme.2018.2885714</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pa47trmskvflvig5cotth265q4">fatcat:pa47trmskvflvig5cotth265q4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200904010558/https://arxiv.org/pdf/1902.11122v1.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/94/31/94310f7087464bfc9bdc606535fe01383c3a0883.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/rbme.2018.2885714"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Artificial Intelligence and Obstetric Ultrasound

Ryu Matsuoka
<span title="2021-09-30">2021</span> <i title="Jaypee Brothers Medical Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cbt2fxt4kzburajb4qck7m4pym" style="color: black;">Donald School Journal of Ultrasound in Obstetrics and Gynecology</a> </i> &nbsp;
of the body and calculate the estimated weight from fetal US movies.  ...  Although the application of AI technology in the field of ultrasound (US) has lagged behind other modalities such as radiography, computed tomography (CT), and magnetic resonance imaging (MRI), it has  ...  Thus, the usefulness and significance of fetal neonatal ultrasonography have been proven. 13 The structure of the heart consists of four chambers (right atrium, right ventricle, left atrium, and left  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5005/jp-journals-10009-1702">doi:10.5005/jp-journals-10009-1702</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/doaiyormr5fybo7volp5pra2dq">fatcat:doaiyormr5fybo7volp5pra2dq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211007031400/https://www.dsjuog.com/doi/pdf/10.5005/jp-journals-10009-1702" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/84/38/84383868bd6387371d795ce7350539b1b1bfd091.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5005/jp-journals-10009-1702"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>
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